Overview

Brought to you by YData

Dataset statistics

Number of variables26
Number of observations736282
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.1 MiB
Average record size in memory208.0 B

Variable types

DateTime2
Numeric24

Alerts

% Iron Concentrate is highly overall correlated with % Silica ConcentrateHigh correlation
% Iron Feed is highly overall correlated with % Silica FeedHigh correlation
% Silica Concentrate is highly overall correlated with % Iron ConcentrateHigh correlation
% Silica Feed is highly overall correlated with % Iron FeedHigh correlation
Amina Flow is highly overall correlated with Ore Pulp DensityHigh correlation
Flotation Column 01 Air Flow is highly overall correlated with Flotation Column 02 Air Flow and 2 other fieldsHigh correlation
Flotation Column 01 Level is highly overall correlated with Flotation Column 02 Level and 1 other fieldsHigh correlation
Flotation Column 02 Air Flow is highly overall correlated with Flotation Column 01 Air Flow and 1 other fieldsHigh correlation
Flotation Column 02 Level is highly overall correlated with Flotation Column 01 Level and 1 other fieldsHigh correlation
Flotation Column 03 Air Flow is highly overall correlated with Flotation Column 01 Air Flow and 2 other fieldsHigh correlation
Flotation Column 03 Level is highly overall correlated with Flotation Column 01 Level and 1 other fieldsHigh correlation
Flotation Column 04 Level is highly overall correlated with Flotation Column 05 Level and 2 other fieldsHigh correlation
Flotation Column 05 Level is highly overall correlated with Flotation Column 04 Level and 2 other fieldsHigh correlation
Flotation Column 06 Air Flow is highly overall correlated with Flotation Column 01 Air Flow and 2 other fieldsHigh correlation
Flotation Column 06 Level is highly overall correlated with Flotation Column 04 Level and 2 other fieldsHigh correlation
Flotation Column 07 Air Flow is highly overall correlated with Flotation Column 06 Air FlowHigh correlation
Flotation Column 07 Level is highly overall correlated with Flotation Column 04 Level and 2 other fieldsHigh correlation
Ore Pulp Density is highly overall correlated with Amina FlowHigh correlation
original_order is highly overall correlated with Flotation Column 03 Air Flow and 1 other fieldsHigh correlation
original_order has unique valuesUnique
date_corrigida has unique valuesUnique

Reproduction

Analysis started2026-01-29 03:23:58.251238
Analysis finished2026-01-29 03:25:26.578235
Duration1 minute and 28.33 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

date
Date

Distinct4097
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 MiB
Minimum2017-03-10 01:00:00
Maximum2017-09-09 23:00:00
2026-01-29T00:25:26.621583image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:26.678363image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

% Iron Feed
Real number (ℝ)

HIGH CORRELATION 

Distinct278
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.298307
Minimum42.74
Maximum65.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:26.730364image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum42.74
5-th percentile48.21
Q152.67
median56.08
Q359.72
95-th percentile64.03
Maximum65.78
Range23.04
Interquartile range (IQR)7.05

Descriptive statistics

Standard deviation5.1603652
Coefficient of variation (CV)0.091661108
Kurtosis-0.74401231
Mean56.298307
Median Absolute Deviation (MAD)3.47
Skewness-0.0011961446
Sum41451430
Variance26.629369
MonotonicityNot monotonic
2026-01-29T00:25:26.773977image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.03 142555
 
19.4%
57.46 45863
 
6.2%
48.81 34560
 
4.7%
52.61 14580
 
2.0%
55.17 12960
 
1.8%
56.65 9720
 
1.3%
59.72 8640
 
1.2%
55.53 7020
 
1.0%
51.34 5940
 
0.8%
55.99 4860
 
0.7%
Other values (268) 449584
61.1%
ValueCountFrequency (%)
42.74 1620
0.2%
43.37 1080
 
0.1%
44.7 1620
0.2%
44.9 1620
0.2%
45.38 2700
0.4%
45.6 2700
0.4%
45.71 1080
 
0.1%
46.19 1620
0.2%
46.21 1620
0.2%
46.4 1620
0.2%
ValueCountFrequency (%)
65.78 1080
 
0.1%
64.48 1620
 
0.2%
64.46 1080
 
0.1%
64.03 142555
19.4%
63.64 1620
 
0.2%
62.79 1080
 
0.1%
62.51 1620
 
0.2%
61.38 1620
 
0.2%
61.32 1620
 
0.2%
61.11 1620
 
0.2%

% Silica Feed
Real number (ℝ)

HIGH CORRELATION 

Distinct293
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.648984
Minimum1.31
Maximum33.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:26.815467image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum1.31
5-th percentile6.26
Q18.94
median13.85
Q319.6
95-th percentile26.83
Maximum33.4
Range32.09
Interquartile range (IQR)10.66

Descriptive statistics

Standard deviation6.8107413
Coefficient of variation (CV)0.46492927
Kurtosis-0.7349952
Mean14.648984
Median Absolute Deviation (MAD)5.26
Skewness0.44028611
Sum10785783
Variance46.386197
MonotonicityNot monotonic
2026-01-29T00:25:26.858619image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.26 142555
 
19.4%
10.8 45863
 
6.2%
25.31 34560
 
4.7%
20.24 14580
 
2.0%
14.35 12960
 
1.8%
13.32 8640
 
1.2%
14.83 8640
 
1.2%
9.22 8640
 
1.2%
23.16 5940
 
0.8%
14.93 4860
 
0.7%
Other values (283) 449044
61.0%
ValueCountFrequency (%)
1.31 1080
 
0.1%
2.77 1080
 
0.1%
3.77 1620
 
0.2%
3.85 1620
 
0.2%
4.2 1080
 
0.1%
6.08 1620
 
0.2%
6.26 142555
19.4%
6.65 1620
 
0.2%
6.85 1620
 
0.2%
6.92 1620
 
0.2%
ValueCountFrequency (%)
33.4 1620
0.2%
32.23 1080
 
0.1%
30.9 2700
0.4%
30.37 1620
0.2%
30.14 1620
0.2%
30.12 1620
0.2%
29.92 2700
0.4%
29.19 1620
0.2%
29.15 1080
 
0.1%
28.92 1620
0.2%

Starch Flow
Real number (ℝ)

Distinct409317
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2869.6366
Minimum0.00202596
Maximum6300.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:26.901661image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum0.00202596
5-th percentile606.13751
Q12075.07
median3020.23
Q33728.93
95-th percentile4699.729
Maximum6300.23
Range6300.228
Interquartile range (IQR)1653.86

Descriptive statistics

Standard deviation1216.0179
Coefficient of variation (CV)0.42375327
Kurtosis-0.32940444
Mean2869.6366
Median Absolute Deviation (MAD)829.795
Skewness-0.24363285
Sum2.1128618 × 109
Variance1478699.5
MonotonicityNot monotonic
2026-01-29T00:25:26.944097image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1835.94 280
 
< 0.1%
5091.8 205
 
< 0.1%
1888.67 159
 
< 0.1%
3054.69 129
 
< 0.1%
3560.55 77
 
< 0.1%
3328.13 75
 
< 0.1%
3283.2 72
 
< 0.1%
3511.72 71
 
< 0.1%
3404.3 71
 
< 0.1%
3519.53 70
 
< 0.1%
Other values (409307) 735073
99.8%
ValueCountFrequency (%)
0.00202596 1
< 0.1%
0.00661397 1
< 0.1%
0.00765623 1
< 0.1%
0.00888006 1
< 0.1%
0.0132302 1
< 0.1%
0.0161867 1
< 0.1%
0.0178231 1
< 0.1%
0.0183458 1
< 0.1%
0.0249221 1
< 0.1%
0.0262289 1
< 0.1%
ValueCountFrequency (%)
6300.23 1
< 0.1%
6299.88 1
< 0.1%
6299.46 1
< 0.1%
6297.1 1
< 0.1%
6297.08 1
< 0.1%
6295.69 1
< 0.1%
6295.34 1
< 0.1%
6295.130657 1
< 0.1%
6294.94 1
< 0.1%
6294.760235 1
< 0.1%

Amina Flow
Real number (ℝ)

HIGH CORRELATION 

Distinct319416
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.16552
Minimum241.669
Maximum739.538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:26.988589image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum241.669
5-th percentile307.0402
Q1431.83585
median504.3525
Q3553.33575
95-th percentile609.271
Maximum739.538
Range497.869
Interquartile range (IQR)121.4999

Descriptive statistics

Standard deviation91.254428
Coefficient of variation (CV)0.18693337
Kurtosis0.079743378
Mean488.16552
Median Absolute Deviation (MAD)57.606
Skewness-0.56870141
Sum3.5942749 × 108
Variance8327.3706
MonotonicityNot monotonic
2026-01-29T00:25:27.030275image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
513.306 488
 
0.1%
530.396 324
 
< 0.1%
537.109 305
 
< 0.1%
518.188 301
 
< 0.1%
534.668 295
 
< 0.1%
548.706 295
 
< 0.1%
524.902 292
 
< 0.1%
535.889 290
 
< 0.1%
542.603 284
 
< 0.1%
551.758 284
 
< 0.1%
Other values (319406) 733124
99.6%
ValueCountFrequency (%)
241.669 1
 
< 0.1%
241.688 1
 
< 0.1%
241.694 1
 
< 0.1%
241.699 3
< 0.1%
241.6992105 1
 
< 0.1%
241.6994211 1
 
< 0.1%
241.6996316 1
 
< 0.1%
241.6998421 1
 
< 0.1%
241.7000526 1
 
< 0.1%
241.7002632 1
 
< 0.1%
ValueCountFrequency (%)
739.538 1
< 0.1%
739.504 1
< 0.1%
739.489 1
< 0.1%
739.457 1
< 0.1%
739.455 1
< 0.1%
739.446 1
< 0.1%
739.422 1
< 0.1%
739.418 1
< 0.1%
739.4122 1
< 0.1%
739.401 1
< 0.1%

Ore Pulp Flow
Real number (ℝ)

Distinct180189
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.57074
Minimum376.249
Maximum418.641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.071201image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum376.249
5-th percentile378.521
Q1394.248
median399.238
Q3402.967
95-th percentile413.94456
Maximum418.641
Range42.392
Interquartile range (IQR)8.719

Descriptive statistics

Standard deviation9.7054436
Coefficient of variation (CV)0.024411866
Kurtosis-0.047626252
Mean397.57074
Median Absolute Deviation (MAD)4.1860229
Skewness-0.46875428
Sum2.9272418 × 108
Variance94.195636
MonotonicityNot monotonic
2026-01-29T00:25:27.109590image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
401.074 1476
 
0.2%
399.902 1381
 
0.2%
399.316 1307
 
0.2%
398.438 1306
 
0.2%
400.488 1290
 
0.2%
399.023 1222
 
0.2%
401.66 1179
 
0.2%
397.852 1125
 
0.2%
397.266 1065
 
0.1%
402.246 1061
 
0.1%
Other values (180179) 723870
98.3%
ValueCountFrequency (%)
376.249 3
< 0.1%
376.25 6
< 0.1%
376.251 4
< 0.1%
376.252 2
 
< 0.1%
376.253 3
< 0.1%
376.254 6
< 0.1%
376.255 4
< 0.1%
376.256 3
< 0.1%
376.257 2
 
< 0.1%
376.258 6
< 0.1%
ValueCountFrequency (%)
418.641 2
< 0.1%
418.64 3
< 0.1%
418.639 2
< 0.1%
418.638 2
< 0.1%
418.637 1
 
< 0.1%
418.636 1
 
< 0.1%
418.634 1
 
< 0.1%
418.633 3
< 0.1%
418.632 3
< 0.1%
418.631 1
 
< 0.1%

Ore Pulp pH
Real number (ℝ)

Distinct131143
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.767315
Minimum8.75334
Maximum10.8081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.147978image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum8.75334
5-th percentile9.0329305
Q19.52705
median9.79746
Q310.0378
95-th percentile10.352
Maximum10.8081
Range2.05476
Interquartile range (IQR)0.51075

Descriptive statistics

Standard deviation0.38717575
Coefficient of variation (CV)0.039639937
Kurtosis0.017584484
Mean9.767315
Median Absolute Deviation (MAD)0.25454
Skewness-0.34908604
Sum7191498.2
Variance0.14990506
MonotonicityNot monotonic
2026-01-29T00:25:27.200165image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0591 1509
 
0.2%
10.124 1042
 
0.1%
9.17383 472
 
0.1%
9.50879 401
 
0.1%
9.74805 329
 
< 0.1%
10.2778 288
 
< 0.1%
9.93945 267
 
< 0.1%
10.0044 249
 
< 0.1%
10.0112 243
 
< 0.1%
10.0728 240
 
< 0.1%
Other values (131133) 731242
99.3%
ValueCountFrequency (%)
8.75334 1
< 0.1%
8.75337 1
< 0.1%
8.753370162 1
< 0.1%
8.753370324 1
< 0.1%
8.753370486 1
< 0.1%
8.753370648 1
< 0.1%
8.753370809 1
< 0.1%
8.753370971 1
< 0.1%
8.753371133 1
< 0.1%
8.753371295 1
< 0.1%
ValueCountFrequency (%)
10.8081 2
< 0.1%
10.8080625 1
< 0.1%
10.80804615 1
< 0.1%
10.808025 1
< 0.1%
10.80799231 1
< 0.1%
10.8079875 1
< 0.1%
10.80795 1
< 0.1%
10.80793846 1
< 0.1%
10.8079125 1
< 0.1%
10.80788462 1
< 0.1%

Ore Pulp Density
Real number (ℝ)

HIGH CORRELATION 

Distinct105805
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6804239
Minimum1.51982
Maximum1.85325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.250674image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum1.51982
5-th percentile1.5223066
Q11.64739
median1.69758
Q31.72838
95-th percentile1.76778
Maximum1.85325
Range0.33343
Interquartile range (IQR)0.08099

Descriptive statistics

Standard deviation0.069205761
Coefficient of variation (CV)0.041183513
Kurtosis0.05631052
Mean1.6804239
Median Absolute Deviation (MAD)0.03734
Skewness-0.87469695
Sum1237265.9
Variance0.0047894373
MonotonicityNot monotonic
2026-01-29T00:25:27.293328image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.75 3214
 
0.4%
1.76 2351
 
0.3%
1.74 1773
 
0.2%
1.77 1377
 
0.2%
1.78 764
 
0.1%
1.73 681
 
0.1%
1.72 649
 
0.1%
1.71777 533
 
0.1%
1.7 369
 
0.1%
1.67712 240
 
< 0.1%
Other values (105795) 724331
98.4%
ValueCountFrequency (%)
1.51982 1
 
< 0.1%
1.51982304 1
 
< 0.1%
1.51982608 1
 
< 0.1%
1.51982912 1
 
< 0.1%
1.51983 6
< 0.1%
1.519830151 1
 
< 0.1%
1.519830303 1
 
< 0.1%
1.519830455 1
 
< 0.1%
1.519830606 1
 
< 0.1%
1.519830758 1
 
< 0.1%
ValueCountFrequency (%)
1.85325 1
< 0.1%
1.853239286 1
< 0.1%
1.853228571 1
< 0.1%
1.853217857 1
< 0.1%
1.853207143 1
< 0.1%
1.853196429 1
< 0.1%
1.853185714 1
< 0.1%
1.853175 1
< 0.1%
1.853164286 1
< 0.1%
1.853153571 1
< 0.1%

Flotation Column 01 Air Flow
Real number (ℝ)

HIGH CORRELATION 

Distinct43675
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.11981
Minimum175.51
Maximum373.871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.336065image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum175.51
5-th percentile237.8972
Q1250.278
median299.341
Q3300.147
95-th percentile301.449
Maximum373.871
Range198.361
Interquartile range (IQR)49.869

Descriptive statistics

Standard deviation29.633831
Coefficient of variation (CV)0.10578984
Kurtosis1.1363683
Mean280.11981
Median Absolute Deviation (MAD)1.383
Skewness-1.2977765
Sum2.0624718 × 108
Variance878.16394
MonotonicityNot monotonic
2026-01-29T00:25:27.379249image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299.927 13678
 
1.9%
299.487 10809
 
1.5%
300.366 10604
 
1.4%
249.829 8718
 
1.2%
250.269 8694
 
1.2%
299.268 6317
 
0.9%
300.806 4928
 
0.7%
250.488 4705
 
0.6%
299.707 3976
 
0.5%
300.146 3672
 
0.5%
Other values (43665) 660181
89.7%
ValueCountFrequency (%)
175.51 1
< 0.1%
175.558 1
< 0.1%
175.619 1
< 0.1%
175.6663333 1
< 0.1%
175.698 1
< 0.1%
175.752 1
< 0.1%
175.7521076 1
< 0.1%
175.7746667 1
< 0.1%
175.781 1
< 0.1%
175.7814225 1
< 0.1%
ValueCountFrequency (%)
373.871 1
< 0.1%
373.549 1
< 0.1%
372.684 1
< 0.1%
372.4426369 1
< 0.1%
372.3875882 1
< 0.1%
371.751024 1
< 0.1%
371.3362737 1
< 0.1%
370.9041765 1
< 0.1%
370.8180479 1
< 0.1%
370.58 1
< 0.1%

Flotation Column 02 Air Flow
Real number (ℝ)

HIGH CORRELATION 

Distinct80442
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277.12125
Minimum175.156
Maximum375.992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.420503image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum175.156
5-th percentile222.09815
Q1250.448
median296.202
Q3300.686
95-th percentile305.269
Maximum375.992
Range200.836
Interquartile range (IQR)50.238

Descriptive statistics

Standard deviation30.157126
Coefficient of variation (CV)0.10882286
Kurtosis0.10205492
Mean277.12125
Median Absolute Deviation (MAD)7.669
Skewness-0.88044843
Sum2.0403939 × 108
Variance909.45223
MonotonicityNot monotonic
2026-01-29T00:25:27.464203image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255.322 1487
 
0.2%
250.488 751
 
0.1%
250.269 732
 
0.1%
300.366 707
 
0.1%
250.928 695
 
0.1%
298.828 688
 
0.1%
298.389 685
 
0.1%
299.487 683
 
0.1%
301.245 678
 
0.1%
299.927 677
 
0.1%
Other values (80432) 728499
98.9%
ValueCountFrequency (%)
175.156 1
< 0.1%
175.263 1
< 0.1%
175.59 1
< 0.1%
175.655 1
< 0.1%
175.824 1
< 0.1%
175.886 1
< 0.1%
175.899 1
< 0.1%
175.923177 1
< 0.1%
175.947354 1
< 0.1%
175.971531 1
< 0.1%
ValueCountFrequency (%)
375.992 1
< 0.1%
375.965 1
< 0.1%
375.776 1
< 0.1%
375.654 1
< 0.1%
375.653 1
< 0.1%
375.49 1
< 0.1%
375.391 1
< 0.1%
375.349 1
< 0.1%
375.335 1
< 0.1%
375.3 1
< 0.1%

Flotation Column 03 Air Flow
Real number (ℝ)

HIGH CORRELATION 

Distinct40630
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.05254
Minimum176.469
Maximum364.346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.506659image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum176.469
5-th percentile246.81705
Q1250.847
median298.69
Q3300.385
95-th percentile302.328
Maximum364.346
Range187.877
Interquartile range (IQR)49.538

Descriptive statistics

Standard deviation28.571077
Coefficient of variation (CV)0.10165742
Kurtosis0.69307096
Mean281.05254
Median Absolute Deviation (MAD)2.571
Skewness-1.2397099
Sum2.0693392 × 108
Variance816.30644
MonotonicityNot monotonic
2026-01-29T00:25:27.550508image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
298.828 5667
 
0.8%
298.389 5629
 
0.8%
249.39 5225
 
0.7%
299.268 4961
 
0.7%
248.95 4929
 
0.7%
299.487 4567
 
0.6%
297.949 4308
 
0.6%
302.124 3917
 
0.5%
299.927 3811
 
0.5%
301.685 3617
 
0.5%
Other values (40620) 689651
93.7%
ValueCountFrequency (%)
176.469 1
< 0.1%
176.4719172 1
< 0.1%
176.4748343 1
< 0.1%
176.4777515 1
< 0.1%
176.4806686 1
< 0.1%
176.4835858 1
< 0.1%
176.4865029 1
< 0.1%
176.4894201 1
< 0.1%
176.4923373 1
< 0.1%
176.4952544 1
< 0.1%
ValueCountFrequency (%)
364.346 1
< 0.1%
363.122 1
< 0.1%
362.0642117 1
< 0.1%
361.0064234 1
< 0.1%
360.586 1
< 0.1%
359.948635 1
< 0.1%
358.8908467 1
< 0.1%
357.8330584 1
< 0.1%
356.7752701 1
< 0.1%
355.7174818 1
< 0.1%
Distinct196006
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.44622
Minimum292.195
Maximum305.871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.593286image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum292.195
5-th percentile295.096
Q1298.257
median299.804
Q3300.635
95-th percentile304.4109
Maximum305.871
Range13.676
Interquartile range (IQR)2.378

Descriptive statistics

Standard deviation2.5738052
Coefficient of variation (CV)0.0085952171
Kurtosis-0.012541338
Mean299.44622
Median Absolute Deviation (MAD)1.048
Skewness-0.048725677
Sum2.2047686 × 108
Variance6.6244734
MonotonicityNot monotonic
2026-01-29T00:25:27.636808image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295.096 82828
 
11.2%
299.927 14732
 
2.0%
300.366 10206
 
1.4%
300.806 6445
 
0.9%
299.487 5489
 
0.7%
300.146 3975
 
0.5%
299.707 3373
 
0.5%
301.245 3053
 
0.4%
299.268 2885
 
0.4%
300.586 2594
 
0.4%
Other values (195996) 600702
81.6%
ValueCountFrequency (%)
292.195 1
< 0.1%
292.218 1
< 0.1%
292.228 1
< 0.1%
292.236 2
< 0.1%
292.362 1
< 0.1%
292.38 1
< 0.1%
292.456 2
< 0.1%
292.489 1
< 0.1%
292.533 1
< 0.1%
292.595 1
< 0.1%
ValueCountFrequency (%)
305.871 1
< 0.1%
305.868 1
< 0.1%
305.864 1
< 0.1%
305.859 2
< 0.1%
305.85875 1
< 0.1%
305.8572857 1
< 0.1%
305.8535 1
< 0.1%
305.84825 1
< 0.1%
305.844 1
< 0.1%
305.8435714 1
< 0.1%
Distinct194711
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.91481
Minimum286.295
Maximum310.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.679307image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum286.295
5-th percentile293.45143
Q1298.069
median299.886
Q3301.785
95-th percentile306.4
Maximum310.27
Range23.975
Interquartile range (IQR)3.716

Descriptive statistics

Standard deviation3.6370205
Coefficient of variation (CV)0.012126845
Kurtosis0.70182763
Mean299.91481
Median Absolute Deviation (MAD)1.854
Skewness-0.29635561
Sum2.2082188 × 108
Variance13.227918
MonotonicityNot monotonic
2026-01-29T00:25:27.718657image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306.4 82831
 
11.2%
299.927 5117
 
0.7%
299.487 2935
 
0.4%
300.366 2454
 
0.3%
298.389 1981
 
0.3%
299.268 1881
 
0.3%
297.51 1719
 
0.2%
298.828 1692
 
0.2%
297.949 1646
 
0.2%
300.806 1603
 
0.2%
Other values (194701) 632423
85.9%
ValueCountFrequency (%)
286.295 1
< 0.1%
286.369 1
< 0.1%
286.541087 1
< 0.1%
286.7131739 1
< 0.1%
286.747 1
< 0.1%
286.8852609 1
< 0.1%
286.963 1
< 0.1%
286.9638693 1
< 0.1%
286.9647385 1
< 0.1%
286.9656078 1
< 0.1%
ValueCountFrequency (%)
310.27 1
< 0.1%
310.123 1
< 0.1%
310.117 1
< 0.1%
310.073 1
< 0.1%
310.066 1
< 0.1%
309.944913 1
< 0.1%
309.919 1
< 0.1%
309.871 1
< 0.1%
309.8238545 1
< 0.1%
309.814 2
< 0.1%

Flotation Column 06 Air Flow
Real number (ℝ)

HIGH CORRELATION 

Distinct90548
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.06574
Minimum189.928
Maximum370.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.757754image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum189.928
5-th percentile248.834
Q1260.29975
median299.486
Q3303.077
95-th percentile349.78795
Maximum370.91
Range180.982
Interquartile range (IQR)42.77725

Descriptive statistics

Standard deviation30.241329
Coefficient of variation (CV)0.10354288
Kurtosis0.27255015
Mean292.06574
Median Absolute Deviation (MAD)6.095
Skewness-0.11491106
Sum2.1504275 × 108
Variance914.53801
MonotonicityNot monotonic
2026-01-29T00:25:27.798195image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299.927 13761
 
1.9%
250.269 9465
 
1.3%
249.829 7411
 
1.0%
300.366 4327
 
0.6%
250.049 3742
 
0.5%
299.487 3368
 
0.5%
250.488 3197
 
0.4%
300.146 2923
 
0.4%
299.707 2374
 
0.3%
299.268 1486
 
0.2%
Other values (90538) 684228
92.9%
ValueCountFrequency (%)
189.928 1
< 0.1%
190.146 1
< 0.1%
190.219 1
< 0.1%
190.502 1
< 0.1%
190.536 1
< 0.1%
190.582 1
< 0.1%
190.711 1
< 0.1%
190.718 1
< 0.1%
190.747 1
< 0.1%
190.891 1
< 0.1%
ValueCountFrequency (%)
370.91 1
< 0.1%
370.909 2
< 0.1%
370.908 1
< 0.1%
370.903 1
< 0.1%
370.899 1
< 0.1%
370.898 2
< 0.1%
370.893 1
< 0.1%
370.892 1
< 0.1%
370.887 1
< 0.1%
370.882 1
< 0.1%

Flotation Column 07 Air Flow
Real number (ℝ)

HIGH CORRELATION 

Distinct86819
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.74051
Minimum185.962
Maximum371.593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.838203image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum185.962
5-th percentile248.522
Q1256.04775
median299.002
Q3301.907
95-th percentile348.926
Maximum371.593
Range185.631
Interquartile range (IQR)45.85925

Descriptive statistics

Standard deviation28.69052
Coefficient of variation (CV)0.098680847
Kurtosis0.22062896
Mean290.74051
Median Absolute Deviation (MAD)4.488
Skewness-0.20712283
Sum2.14067 × 108
Variance823.14591
MonotonicityNot monotonic
2026-01-29T00:25:27.877687image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299.487 3405
 
0.5%
299.927 3393
 
0.5%
249.829 3248
 
0.4%
299.268 3034
 
0.4%
250.269 2945
 
0.4%
298.828 2451
 
0.3%
348.926 2061
 
0.3%
298.389 1923
 
0.3%
249.39 1912
 
0.3%
300.366 1654
 
0.2%
Other values (86809) 710256
96.5%
ValueCountFrequency (%)
185.962 1
< 0.1%
185.981 1
< 0.1%
186.0275385 1
< 0.1%
186.054 1
< 0.1%
186.0740769 1
< 0.1%
186.083 1
< 0.1%
186.1206154 1
< 0.1%
186.1671538 1
< 0.1%
186.2136923 1
< 0.1%
186.2602308 1
< 0.1%
ValueCountFrequency (%)
371.593 1
< 0.1%
371.592 1
< 0.1%
371.59 1
< 0.1%
371.587 1
< 0.1%
371.573 1
< 0.1%
371.572 1
< 0.1%
371.568 1
< 0.1%
371.565 1
< 0.1%
371.557 1
< 0.1%
371.556 1
< 0.1%

Flotation Column 01 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct299573
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.1684
Minimum149.218
Maximum862.274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:27.921151image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum149.218
5-th percentile385.444
Q1416.902
median491.749
Q3594.09775
95-th percentile811.22026
Maximum862.274
Range713.056
Interquartile range (IQR)177.19575

Descriptive statistics

Standard deviation131.08582
Coefficient of variation (CV)0.2520065
Kurtosis0.4687756
Mean520.1684
Median Absolute Deviation (MAD)84.246
Skewness0.98495022
Sum3.8299063 × 108
Variance17183.492
MonotonicityNot monotonic
2026-01-29T00:25:27.960085image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452.441 1013
 
0.1%
444.934 900
 
0.1%
405.896 895
 
0.1%
448.938 804
 
0.1%
510.999 803
 
0.1%
456.445 769
 
0.1%
495.483 629
 
0.1%
409.9 616
 
0.1%
397.888 609
 
0.1%
402.393 584
 
0.1%
Other values (299563) 728660
99.0%
ValueCountFrequency (%)
149.218 1
< 0.1%
149.293 1
< 0.1%
149.322 1
< 0.1%
149.3868 1
< 0.1%
149.441 1
< 0.1%
149.4516 1
< 0.1%
149.492 1
< 0.1%
149.498 1
< 0.1%
149.5164 1
< 0.1%
149.581 1
< 0.1%
ValueCountFrequency (%)
862.274 1
< 0.1%
862.272 1
< 0.1%
862.243 1
< 0.1%
862.229 1
< 0.1%
862.2204662 1
< 0.1%
862.1979323 1
< 0.1%
862.196 1
< 0.1%
862.1909118 1
< 0.1%
862.186 1
< 0.1%
862.1753985 1
< 0.1%

Flotation Column 02 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct331189
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean522.55528
Minimum210.752
Maximum828.919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.002584image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum210.752
5-th percentile373.3411
Q1441.83525
median495.8535
Q3595.293
95-th percentile803.54024
Maximum828.919
Range618.167
Interquartile range (IQR)153.45775

Descriptive statistics

Standard deviation128.21623
Coefficient of variation (CV)0.24536396
Kurtosis0.28256373
Mean522.55528
Median Absolute Deviation (MAD)67.7705
Skewness0.74755593
Sum3.8474805 × 108
Variance16439.402
MonotonicityNot monotonic
2026-01-29T00:25:28.042739image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450.293 385
 
0.1%
446.895 350
 
< 0.1%
455.391 283
 
< 0.1%
500.703 279
 
< 0.1%
709.707 266
 
< 0.1%
502.969 264
 
< 0.1%
451.426 260
 
< 0.1%
504.668 252
 
< 0.1%
498.438 251
 
< 0.1%
497.305 243
 
< 0.1%
Other values (331179) 733449
99.6%
ValueCountFrequency (%)
210.752 1
< 0.1%
210.76 1
< 0.1%
210.768 1
< 0.1%
210.77 1
< 0.1%
210.986 1
< 0.1%
210.991 1
< 0.1%
211.029 1
< 0.1%
211.04 1
< 0.1%
211.07 1
< 0.1%
211.086 1
< 0.1%
ValueCountFrequency (%)
828.919 1
< 0.1%
828.903 1
< 0.1%
828.894 1
< 0.1%
828.87 1
< 0.1%
828.847 1
< 0.1%
828.833 1
< 0.1%
828.826 1
< 0.1%
828.82 1
< 0.1%
828.79 1
< 0.1%
828.778 1
< 0.1%

Flotation Column 03 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct322315
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean531.28379
Minimum126.255
Maximum886.822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.087512image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum126.255
5-th percentile385.00405
Q1411.256
median494.184
Q3601.299
95-th percentile867.71007
Maximum886.822
Range760.567
Interquartile range (IQR)190.043

Descriptive statistics

Standard deviation150.93186
Coefficient of variation (CV)0.28408897
Kurtosis0.2542518
Mean531.28379
Median Absolute Deviation (MAD)93.002
Skewness0.82189592
Sum3.9117469 × 108
Variance22780.428
MonotonicityNot monotonic
2026-01-29T00:25:28.128531image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
399.807 843
 
0.1%
400.886 842
 
0.1%
396.57 492
 
0.1%
447.827 483
 
0.1%
395.491 476
 
0.1%
404.663 436
 
0.1%
451.064 431
 
0.1%
391.714 421
 
0.1%
455.92 394
 
0.1%
451.604 390
 
0.1%
Other values (322305) 731074
99.3%
ValueCountFrequency (%)
126.255 1
< 0.1%
126.256 1
< 0.1%
126.3040156 1
< 0.1%
126.334 1
< 0.1%
126.3520312 1
< 0.1%
126.353 1
< 0.1%
126.4000469 1
< 0.1%
126.4480625 1
< 0.1%
126.4960781 1
< 0.1%
126.5440938 1
< 0.1%
ValueCountFrequency (%)
886.822 1
< 0.1%
886.8202041 1
< 0.1%
886.8185 1
< 0.1%
886.8184082 1
< 0.1%
886.8166122 1
< 0.1%
886.815 1
< 0.1%
886.8148163 1
< 0.1%
886.8130204 1
< 0.1%
886.8115 1
< 0.1%
886.8112245 1
< 0.1%

Flotation Column 04 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct309264
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.16975
Minimum162.201
Maximum680.359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.170921image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum162.201
5-th percentile284.63
Q1356.627
median411.7705
Q3485.285
95-th percentile580.36089
Maximum680.359
Range518.158
Interquartile range (IQR)128.658

Descriptive statistics

Standard deviation91.755819
Coefficient of variation (CV)0.21837797
Kurtosis0.34508403
Mean420.16975
Median Absolute Deviation (MAD)61.389
Skewness0.10004193
Sum3.0936343 × 108
Variance8419.1304
MonotonicityNot monotonic
2026-01-29T00:25:28.211345image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367.188 341
 
< 0.1%
405.469 267
 
< 0.1%
302.344 238
 
< 0.1%
348.047 140
 
< 0.1%
344.141 129
 
< 0.1%
354.688 124
 
< 0.1%
360.547 122
 
< 0.1%
353.906 119
 
< 0.1%
362.5 118
 
< 0.1%
526.172 118
 
< 0.1%
Other values (309254) 734566
99.8%
ValueCountFrequency (%)
162.201 1
< 0.1%
162.218 1
< 0.1%
162.226 1
< 0.1%
162.251 1
< 0.1%
162.265 1
< 0.1%
162.266 1
< 0.1%
162.288 1
< 0.1%
162.2931854 1
< 0.1%
162.301 1
< 0.1%
162.3016667 1
< 0.1%
ValueCountFrequency (%)
680.359 1
< 0.1%
680.34 1
< 0.1%
680.274 1
< 0.1%
680.222 1
< 0.1%
680.187 1
< 0.1%
680.186 1
< 0.1%
680.107 1
< 0.1%
680.096 1
< 0.1%
680.08 1
< 0.1%
680.078 1
< 0.1%

Flotation Column 05 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct276051
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean425.09453
Minimum166.991
Maximum675.644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.252979image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum166.991
5-th percentile324.794
Q1357.59525
median408.65
Q3484.008
95-th percentile589.71995
Maximum675.644
Range508.653
Interquartile range (IQR)126.41275

Descriptive statistics

Standard deviation84.47917
Coefficient of variation (CV)0.19873031
Kurtosis0.42796086
Mean425.09453
Median Absolute Deviation (MAD)56.758
Skewness0.57739822
Sum3.1298945 × 108
Variance7136.7301
MonotonicityNot monotonic
2026-01-29T00:25:28.294577image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392.707 626
 
0.1%
411.984 404
 
0.1%
397.664 368
 
< 0.1%
350.848 323
 
< 0.1%
347.543 303
 
< 0.1%
351.949 299
 
< 0.1%
342.586 298
 
< 0.1%
346.441 284
 
< 0.1%
352.5 282
 
< 0.1%
345.34 281
 
< 0.1%
Other values (276041) 732814
99.5%
ValueCountFrequency (%)
166.991 1
< 0.1%
166.999 1
< 0.1%
167.01 1
< 0.1%
167.049 1
< 0.1%
167.114 1
< 0.1%
167.12254 1
< 0.1%
167.13108 1
< 0.1%
167.13962 1
< 0.1%
167.14816 1
< 0.1%
167.1567 1
< 0.1%
ValueCountFrequency (%)
675.644 1
< 0.1%
675.626 1
< 0.1%
675.625 1
< 0.1%
675.607 1
< 0.1%
675.604 1
< 0.1%
675.586 2
< 0.1%
675.571459 1
< 0.1%
675.5579447 1
< 0.1%
675.538918 1
< 0.1%
675.538 1
< 0.1%

Flotation Column 06 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct301502
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429.88952
Minimum155.841
Maximum698.861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.335626image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum155.841
5-th percentile302.598
Q1358.438
median424.427
Q3492.773
95-th percentile598.284
Maximum698.861
Range543.02
Interquartile range (IQR)134.335

Descriptive statistics

Standard deviation89.919586
Coefficient of variation (CV)0.20916906
Kurtosis0.1536549
Mean429.88952
Median Absolute Deviation (MAD)66.973
Skewness0.40360106
Sum3.1651991 × 108
Variance8085.5319
MonotonicityNot monotonic
2026-01-29T00:25:28.376193image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
502.373 269
 
< 0.1%
353.397 259
 
< 0.1%
636.787 256
 
< 0.1%
339.396 246
 
< 0.1%
354.517 239
 
< 0.1%
507.413 213
 
< 0.1%
349.477 213
 
< 0.1%
497.892 197
 
< 0.1%
501.252 196
 
< 0.1%
449.167 195
 
< 0.1%
Other values (301492) 733999
99.7%
ValueCountFrequency (%)
155.841 1
< 0.1%
156.004 1
< 0.1%
156.267 1
< 0.1%
156.451 1
< 0.1%
156.561 1
< 0.1%
156.605 1
< 0.1%
156.663 1
< 0.1%
156.697 1
< 0.1%
156.76 1
< 0.1%
156.816 1
< 0.1%
ValueCountFrequency (%)
698.861 2
< 0.1%
698.853 1
< 0.1%
698.816 1
< 0.1%
698.814 1
< 0.1%
698.805 1
< 0.1%
698.799 1
< 0.1%
698.765 1
< 0.1%
698.764 1
< 0.1%
698.693 1
< 0.1%
698.684 1
< 0.1%

Flotation Column 07 Level
Real number (ℝ)

HIGH CORRELATION 

Distinct295667
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.91026
Minimum175.349
Maximum659.902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.416871image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum175.349
5-th percentile305.091
Q1356.70525
median410.94
Q3476.145
95-th percentile580.03387
Maximum659.902
Range484.553
Interquartile range (IQR)119.43975

Descriptive statistics

Standard deviation84.899167
Coefficient of variation (CV)0.20170373
Kurtosis0.12826587
Mean420.91026
Median Absolute Deviation (MAD)57.678
Skewness0.35024022
Sum3.0990865 × 108
Variance7207.8686
MonotonicityNot monotonic
2026-01-29T00:25:28.456786image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347.056 421
 
0.1%
355.332 373
 
0.1%
390.093 362
 
< 0.1%
438.647 352
 
< 0.1%
394.507 348
 
< 0.1%
342.642 313
 
< 0.1%
432.578 312
 
< 0.1%
398.369 311
 
< 0.1%
359.746 306
 
< 0.1%
351.47 288
 
< 0.1%
Other values (295657) 732896
99.5%
ValueCountFrequency (%)
175.349 1
< 0.1%
175.377 1
< 0.1%
175.439 1
< 0.1%
175.46 1
< 0.1%
175.483 1
< 0.1%
175.617 1
< 0.1%
175.668 1
< 0.1%
175.686 1
< 0.1%
175.695 1
< 0.1%
175.83 1
< 0.1%
ValueCountFrequency (%)
659.902 1
< 0.1%
659.9 1
< 0.1%
659.883 1
< 0.1%
659.772 1
< 0.1%
659.768 1
< 0.1%
659.739 1
< 0.1%
659.7 1
< 0.1%
659.698 1
< 0.1%
659.695 1
< 0.1%
659.6583478 1
< 0.1%

% Iron Concentrate
Real number (ℝ)

HIGH CORRELATION 

Distinct38696
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.049096
Minimum62.05
Maximum68.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.495227image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum62.05
5-th percentile62.869918
Q164.37
median65.21
Q365.86
95-th percentile66.61
Maximum68.01
Range5.96
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation1.1187214
Coefficient of variation (CV)0.017198108
Kurtosis-0.19172467
Mean65.049096
Median Absolute Deviation (MAD)0.73
Skewness-0.52142922
Sum47894479
Variance1.2515376
MonotonicityNot monotonic
2026-01-29T00:25:28.535646image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.44 16920
 
2.3%
65.26 8460
 
1.1%
64.03 7741
 
1.1%
65.28 6120
 
0.8%
64.99 5580
 
0.8%
64.73 5580
 
0.8%
66.47 5400
 
0.7%
66.33 5220
 
0.7%
64.72 5040
 
0.7%
65.21 4860
 
0.7%
Other values (38686) 665361
90.4%
ValueCountFrequency (%)
62.05 360
< 0.1%
62.05221914 1
 
< 0.1%
62.05368421 1
 
< 0.1%
62.05443828 1
 
< 0.1%
62.05501385 1
 
< 0.1%
62.05665742 1
 
< 0.1%
62.05736842 1
 
< 0.1%
62.05887656 1
 
< 0.1%
62.0600277 1
 
< 0.1%
62.06105263 1
 
< 0.1%
ValueCountFrequency (%)
68.01 180
 
< 0.1%
67.99 180
 
< 0.1%
67.67 180
 
< 0.1%
67.66 180
 
< 0.1%
67.63 180
 
< 0.1%
67.62 180
 
< 0.1%
67.6 180
 
< 0.1%
67.45 180
 
< 0.1%
67.44 720
0.1%
67.39 180
 
< 0.1%

% Silica Concentrate
Real number (ℝ)

HIGH CORRELATION 

Distinct55569
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3272696
Minimum0.6
Maximum5.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.578377image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.08
Q11.44
median2
Q33.01
95-th percentile4.73
Maximum5.53
Range4.93
Interquartile range (IQR)1.57

Descriptive statistics

Standard deviation1.125616
Coefficient of variation (CV)0.48366379
Kurtosis-0.0083134949
Mean2.3272696
Median Absolute Deviation (MAD)0.66
Skewness0.97006166
Sum1713526.7
Variance1.2670115
MonotonicityNot monotonic
2026-01-29T00:25:28.616948image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.08 17100
 
2.3%
1.19 10080
 
1.4%
3.11 8460
 
1.1%
1.34 6840
 
0.9%
1.68 6300
 
0.9%
1.9 5940
 
0.8%
1.33 5940
 
0.8%
1.32 5400
 
0.7%
1.21 5400
 
0.7%
1.01 5400
 
0.7%
Other values (55559) 659422
89.6%
ValueCountFrequency (%)
0.6 180
 
< 0.1%
0.66 540
0.1%
0.74 180
 
< 0.1%
0.75 180
 
< 0.1%
0.77 180
 
< 0.1%
0.84 540
0.1%
0.85 360
< 0.1%
0.86 540
0.1%
0.87 180
 
< 0.1%
0.88 180
 
< 0.1%
ValueCountFrequency (%)
5.53 540
0.1%
5.529796673 1
 
< 0.1%
5.529593346 1
 
< 0.1%
5.529390019 1
 
< 0.1%
5.529186691 1
 
< 0.1%
5.529035392 1
 
< 0.1%
5.528983364 1
 
< 0.1%
5.528780037 1
 
< 0.1%
5.52857671 1
 
< 0.1%
5.528373383 1
 
< 0.1%

original_order
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct736282
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368559.3
Minimum0
Maximum737452
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2026-01-29T00:25:28.655781image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36815.05
Q1184071.25
median368146.5
Q3553381.75
95-th percentile700637.95
Maximum737452
Range737452
Interquartile range (IQR)369310.5

Descriptive statistics

Standard deviation213009.73
Coefficient of variation (CV)0.57795238
Kurtosis-1.2015019
Mean368559.3
Median Absolute Deviation (MAD)184655.5
Skewness0.0021362863
Sum2.7136358 × 1011
Variance4.5373145 × 1010
MonotonicityStrictly increasing
2026-01-29T00:25:28.698863image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
492003 1
 
< 0.1%
491983 1
 
< 0.1%
491984 1
 
< 0.1%
491985 1
 
< 0.1%
491986 1
 
< 0.1%
491987 1
 
< 0.1%
491988 1
 
< 0.1%
491989 1
 
< 0.1%
491990 1
 
< 0.1%
Other values (736272) 736272
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
737452 1
< 0.1%
737451 1
< 0.1%
737450 1
< 0.1%
737449 1
< 0.1%
737448 1
< 0.1%
737447 1
< 0.1%
737446 1
< 0.1%
737445 1
< 0.1%
737444 1
< 0.1%
737443 1
< 0.1%

date_corrigida
Date

UNIQUE 

Distinct736282
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 MiB
Minimum2017-03-10 01:00:00
Maximum2017-09-09 23:59:40
2026-01-29T00:25:28.743835image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:28.789886image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2026-01-29T00:25:22.934241image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:34.503792image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.427551image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.410414image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.417202image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.374984image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.389388image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.666750image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.678709image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.594238image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.711412image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.815076image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:57.019509image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:59.238298image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:01.876545image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:03.915576image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:05.929750image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:07.967263image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:10.054047image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:12.092014image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:14.136519image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:16.171319image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:18.183019image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:20.981763image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:23.014346image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:34.579727image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.504805image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.492613image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.495696image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.457855image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.466867image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.744313image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.761147image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.685161image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.798191image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.900326image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:57.113210image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:59.320917image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:01.959785image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:03.996643image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:06.012564image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:08.048644image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:10.136636image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:12.174941image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:14.218375image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:16.252349image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:18.262132image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:21.060446image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:23.098369image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:34.675757image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.588139image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.574949image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.578825image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.543401image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.547140image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.822664image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.842714image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.767267image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.885294image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.988445image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:57.225778image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:59.408854image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:02.044983image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:04.080187image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:06.096430image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:08.133069image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:10.223929image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:12.261300image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:14.304636image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:16.337101image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:18.344821image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:21.141984image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:23.181494image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:34.752603image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.687124image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.676860image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.670606image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.651578image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.647347image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.901526image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.917785image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.852115image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
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2026-01-29T00:24:38.083559image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.081070image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.050053image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.058336image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.337814image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.327514image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.246632image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.340496image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.460652image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:56.615486image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:58.899033image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:01.522956image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:03.582447image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:05.596763image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:07.639152image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:09.702149image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:11.751960image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:13.796175image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:15.830582image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:17.850445image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:20.662159image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:22.621695image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:24.716334image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.189925image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.161948image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.168638image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.127909image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.140535image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.413198image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.410909image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.325125image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.427733image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.545830image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:56.718274image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:58.988783image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:01.617815image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:03.669334image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:05.683876image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:07.718878image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:09.781773image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:11.831849image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:13.879359image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:15.914685image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:17.932872image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:20.738288image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:22.696689image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:24.798649image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.269401image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.243318image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.252164image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.208984image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.223400image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.491199image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.496285image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.402443image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.514354image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.649146image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:56.815791image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:59.070156image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:01.702766image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:03.749220image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:05.763393image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:07.802333image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:09.871181image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:11.920873image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:13.965151image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:16.000201image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
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2026-01-29T00:25:20.817989image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:22.772553image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:24.879298image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:36.346344image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:38.324925image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:40.331918image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:42.289453image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:44.305409image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:46.569689image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:48.580300image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:50.496120image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:52.603809image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:54.728053image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:56.915756image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:24:59.153108image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:01.788071image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:03.829346image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:05.844032image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:07.881731image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:09.963928image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:12.004868image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:14.048101image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:16.083161image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:18.100209image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:20.896966image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
2026-01-29T00:25:22.849064image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Correlations

2026-01-29T00:25:28.837636image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
% Iron Concentrate% Iron Feed% Silica Concentrate% Silica FeedAmina FlowFlotation Column 01 Air FlowFlotation Column 01 LevelFlotation Column 02 Air FlowFlotation Column 02 LevelFlotation Column 03 Air FlowFlotation Column 03 LevelFlotation Column 04 Air FlowFlotation Column 04 LevelFlotation Column 05 Air FlowFlotation Column 05 LevelFlotation Column 06 Air FlowFlotation Column 06 LevelFlotation Column 07 Air FlowFlotation Column 07 LevelOre Pulp DensityOre Pulp FlowOre Pulp pHStarch Floworiginal_order
% Iron Concentrate1.0000.061-0.777-0.049-0.1160.0730.0140.042-0.0180.075-0.004-0.0480.1610.0750.183-0.0300.107-0.0090.1570.0130.0700.1990.076-0.045
% Iron Feed0.0611.000-0.072-0.985-0.085-0.0800.047-0.1770.023-0.0670.044-0.1160.0380.1390.046-0.0540.034-0.0290.055-0.1310.1230.0260.045-0.250
% Silica Concentrate-0.777-0.0721.0000.0800.206-0.181-0.034-0.152-0.004-0.180-0.022-0.015-0.180-0.010-0.191-0.037-0.129-0.053-0.1600.0860.009-0.150-0.070-0.113
% Silica Feed-0.049-0.9850.0801.0000.0890.062-0.0360.159-0.0230.047-0.0380.098-0.051-0.127-0.0600.048-0.0390.022-0.0670.144-0.117-0.026-0.0430.206
Amina Flow-0.116-0.0850.2060.0891.0000.078-0.2510.099-0.2320.076-0.2770.009-0.162-0.028-0.1740.077-0.1560.049-0.1450.5810.1880.0960.2150.051
Flotation Column 01 Air Flow0.073-0.080-0.1810.0620.0781.000-0.3100.623-0.2640.665-0.2820.390-0.029-0.131-0.0540.504-0.0580.471-0.076-0.096-0.1040.1290.1330.486
Flotation Column 01 Level0.0140.047-0.034-0.036-0.251-0.3101.000-0.3080.694-0.2850.754-0.2270.3050.1350.348-0.3140.334-0.3000.3310.004-0.021-0.129-0.259-0.327
Flotation Column 02 Air Flow0.042-0.177-0.1520.1590.0990.623-0.3081.000-0.2870.623-0.2820.351-0.043-0.111-0.0720.445-0.0700.432-0.077-0.051-0.0900.1240.1440.482
Flotation Column 02 Level-0.0180.023-0.004-0.023-0.232-0.2640.694-0.2871.000-0.2330.664-0.1870.2430.1180.288-0.2500.309-0.2580.262-0.008-0.054-0.152-0.258-0.189
Flotation Column 03 Air Flow0.075-0.067-0.1800.0470.0760.665-0.2850.623-0.2331.000-0.2550.388-0.017-0.138-0.0330.488-0.0480.474-0.048-0.107-0.1010.1640.1360.504
Flotation Column 03 Level-0.0040.044-0.022-0.038-0.277-0.2820.754-0.2820.664-0.2551.000-0.1690.2770.1280.330-0.3230.313-0.2880.290-0.038-0.050-0.125-0.283-0.290
Flotation Column 04 Air Flow-0.048-0.116-0.0150.0980.0090.390-0.2270.351-0.1870.388-0.1691.000-0.160-0.210-0.1870.389-0.2110.426-0.184-0.139-0.0910.1630.0890.338
Flotation Column 04 Level0.1610.038-0.180-0.051-0.162-0.0290.305-0.0430.243-0.0170.277-0.1601.000-0.0020.766-0.2020.592-0.1760.685-0.0470.0010.043-0.0020.001
Flotation Column 05 Air Flow0.0750.139-0.010-0.127-0.028-0.1310.135-0.1110.118-0.1380.128-0.210-0.0021.0000.026-0.1570.026-0.1700.0400.0760.120-0.134-0.077-0.365
Flotation Column 05 Level0.1830.046-0.191-0.060-0.174-0.0540.348-0.0720.288-0.0330.330-0.1870.7660.0261.000-0.2480.647-0.2100.770-0.0550.0170.026-0.029-0.045
Flotation Column 06 Air Flow-0.030-0.054-0.0370.0480.0770.504-0.3140.445-0.2500.488-0.3230.389-0.202-0.157-0.2481.000-0.2400.637-0.252-0.121-0.1060.1230.1990.508
Flotation Column 06 Level0.1070.034-0.129-0.039-0.156-0.0580.334-0.0700.309-0.0480.313-0.2110.5920.0260.647-0.2401.000-0.2200.674-0.034-0.006-0.053-0.039-0.017
Flotation Column 07 Air Flow-0.009-0.029-0.0530.0220.0490.471-0.3000.432-0.2580.474-0.2880.426-0.176-0.170-0.2100.637-0.2201.000-0.229-0.131-0.0880.1610.1800.451
Flotation Column 07 Level0.1570.055-0.160-0.067-0.145-0.0760.331-0.0770.262-0.0480.290-0.1840.6850.0400.770-0.2520.674-0.2291.000-0.0320.0170.025-0.025-0.059
Ore Pulp Density0.013-0.1310.0860.1440.581-0.0960.004-0.051-0.008-0.107-0.038-0.139-0.0470.076-0.055-0.121-0.034-0.131-0.0321.0000.0290.0490.131-0.121
Ore Pulp Flow0.0700.1230.009-0.1170.188-0.104-0.021-0.090-0.054-0.101-0.050-0.0910.0010.1200.017-0.106-0.006-0.0880.0170.0291.0000.0670.055-0.288
Ore Pulp pH0.1990.026-0.150-0.0260.0960.129-0.1290.124-0.1520.164-0.1250.1630.043-0.1340.0260.123-0.0530.1610.0250.0490.0671.0000.3040.098
Starch Flow0.0760.045-0.070-0.0430.2150.133-0.2590.144-0.2580.136-0.2830.089-0.002-0.077-0.0290.199-0.0390.180-0.0250.1310.0550.3041.0000.270
original_order-0.045-0.250-0.1130.2060.0510.486-0.3270.482-0.1890.504-0.2900.3380.001-0.365-0.0450.508-0.0170.451-0.059-0.121-0.2880.0980.2701.000

Missing values

2026-01-29T00:25:24.960594image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-29T00:25:25.415934image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

date% Iron Feed% Silica FeedStarch FlowAmina FlowOre Pulp FlowOre Pulp pHOre Pulp DensityFlotation Column 01 Air FlowFlotation Column 02 Air FlowFlotation Column 03 Air FlowFlotation Column 04 Air FlowFlotation Column 05 Air FlowFlotation Column 06 Air FlowFlotation Column 07 Air FlowFlotation Column 01 LevelFlotation Column 02 LevelFlotation Column 03 LevelFlotation Column 04 LevelFlotation Column 05 LevelFlotation Column 06 LevelFlotation Column 07 Level% Iron Concentrate% Silica Concentrateoriginal_orderdate_corrigida
02017-03-10 01:00:0055.216.983019.53557.434395.71310.06641.74249.214253.235250.576295.096306.4250.225250.884457.396432.962424.954443.558502.255446.370523.34466.911.3102017-03-10 01:00:00
12017-03-10 01:00:0055.216.983024.41563.965397.38310.06721.74249.719250.532250.862295.096306.4250.137248.994451.891429.560432.939448.086496.363445.922498.07566.911.3112017-03-10 01:00:20
22017-03-10 01:00:0055.216.983043.46568.054399.66810.06801.74249.741247.874250.313295.096306.4251.345248.071451.240468.927434.610449.688484.411447.826458.56766.911.3122017-03-10 01:00:40
32017-03-10 01:00:0055.216.983047.36568.665397.93910.06891.74249.917254.487250.049295.096306.4250.422251.147452.441458.165442.865446.210471.411437.690427.66966.911.3132017-03-10 01:01:00
42017-03-10 01:00:0055.216.983033.69558.167400.25410.06971.74250.203252.136249.895295.096306.4249.983248.928452.441452.900450.523453.670462.598443.682425.67966.911.3142017-03-10 01:01:20
52017-03-10 01:00:0055.216.983079.10564.697396.53310.07051.74250.730248.906249.521295.096306.4250.356251.873444.384443.269460.449439.920451.588433.539425.45866.911.3152017-03-10 01:01:40
62017-03-10 01:00:0055.216.983127.79566.467392.90010.07131.74250.313252.202249.082295.096306.4250.950253.477446.185444.571452.306431.328443.548444.575431.25166.911.3162017-03-10 01:02:00
72017-03-10 01:00:0055.216.983152.93558.777397.00210.07221.74249.895253.630249.258295.096306.4249.456253.345445.985461.341461.640442.067441.730461.770449.67966.911.3172017-03-10 01:02:20
82017-03-10 01:00:0055.216.983147.27556.030394.30710.07301.74250.137251.104248.774295.096306.4248.577250.884446.686478.385459.103455.074439.798457.738455.91566.911.3182017-03-10 01:02:40
92017-03-10 01:00:0055.216.983142.58565.857393.10510.07381.74249.653252.202248.203295.096306.4248.511248.137445.685478.779460.665457.225453.236449.898455.75066.911.3192017-03-10 01:03:00
date% Iron Feed% Silica FeedStarch FlowAmina FlowOre Pulp FlowOre Pulp pHOre Pulp DensityFlotation Column 01 Air FlowFlotation Column 02 Air FlowFlotation Column 03 Air FlowFlotation Column 04 Air FlowFlotation Column 05 Air FlowFlotation Column 06 Air FlowFlotation Column 07 Air FlowFlotation Column 01 LevelFlotation Column 02 LevelFlotation Column 03 LevelFlotation Column 04 LevelFlotation Column 05 LevelFlotation Column 06 LevelFlotation Column 07 Level% Iron Concentrate% Silica Concentrateoriginal_orderdate_corrigida
7362722017-09-09 23:00:0049.7523.22795.80446.450387.1809.618351.65435301.596307.766301.969301.904302.867361.386309.516399.599531.841881.265418.022483.985331.105355.20264.271.717374432017-09-09 23:56:40
7362732017-09-09 23:00:0049.7523.22765.63447.075386.0939.618941.65421302.451300.509299.927299.440300.340358.177278.472376.397543.959879.183446.445489.925384.033348.70064.271.717374442017-09-09 23:57:00
7362742017-09-09 23:00:0049.7523.22735.63462.036383.3379.619521.65407302.344298.306299.703298.857299.941343.017294.930387.791554.852862.431442.184490.475417.519360.78164.271.717374452017-09-09 23:57:20
7362752017-09-09 23:00:0049.7523.22688.37480.011379.7919.620111.65393302.455298.365300.157300.363298.909347.311301.185396.371541.484868.811418.172486.551460.184389.79864.271.717374462017-09-09 23:57:40
7362762017-09-09 23:00:0049.7523.22693.32466.423381.9639.620701.65379302.452299.195299.801300.258297.517360.081307.440392.843496.011880.325413.396483.884492.137410.29964.271.717374472017-09-09 23:58:00
7362772017-09-09 23:00:0049.7523.22710.94441.052386.5709.621291.65365302.344298.786299.163299.920299.623346.794313.695392.160430.702872.008418.725497.548446.357416.89264.271.717374482017-09-09 23:58:20
7362782017-09-09 23:00:0049.7523.22692.01473.436384.9399.620631.65352303.013301.879299.487299.710300.465330.023236.700401.505404.616864.409418.377506.398372.995426.33764.271.717374492017-09-09 23:58:40
7362792017-09-09 23:00:0049.7523.22692.20500.488383.4969.618741.65338303.662307.397299.487299.927299.707329.590225.879408.899399.316867.598419.531503.414336.035433.13064.271.717374502017-09-09 23:59:00
7362802017-09-09 23:00:0049.7523.21164.12491.548384.9769.616861.65324302.550301.959298.045299.372298.819351.453308.115405.107466.832876.591407.299502.301340.844433.96664.271.717374512017-09-09 23:59:20
7362812017-09-09 23:00:0049.7523.21164.12468.019384.8019.614971.65310300.355292.865298.625298.717297.395362.464308.115413.754514.143881.323378.969500.100374.354441.18264.271.717374522017-09-09 23:59:40